{"id":"https://openalex.org/W4399418348","doi":"https://doi.org/10.1145/3652583.3658048","title":"PoseRec: 3D Human Pose Driven Online Advertisement Recommendation for Micro-videos","display_name":"PoseRec: 3D Human Pose Driven Online Advertisement Recommendation for Micro-videos","publication_year":2024,"publication_date":"2024-05-30","ids":{"openalex":"https://openalex.org/W4399418348","doi":"https://doi.org/10.1145/3652583.3658048"},"language":"en","primary_location":{"id":"doi:10.1145/3652583.3658048","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658048","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658048","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658048","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021141988","display_name":"Zhaoxin Fan","orcid":"https://orcid.org/0000-0002-6324-1712"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaoxin Fan","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6324-1712","affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091396485","display_name":"Fengxin Li","orcid":"https://orcid.org/0000-0001-8828-2767"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengxin Li","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8828-2767","affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332465","display_name":"Hongyan Liu","orcid":"https://orcid.org/0000-0002-4902-1078"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Liu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4902-1078","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766741","display_name":"Jun He","orcid":"https://orcid.org/0000-0003-1511-7554"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun He","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1511-7554","affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008721449","display_name":"Xiaoyong Du","orcid":"https://orcid.org/0000-0002-5757-9135"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyong Du","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5757-9135","affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021141988"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":0.2381,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47893066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8484520316123962},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.784713864326477},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.632258415222168},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5540117025375366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5508478283882141},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.49186205863952637},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4276593029499054},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4114854335784912},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3521578311920166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32830142974853516},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06468367576599121}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8484520316123962},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.784713864326477},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.632258415222168},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5540117025375366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5508478283882141},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.49186205863952637},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4276593029499054},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4114854335784912},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3521578311920166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32830142974853516},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06468367576599121},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652583.3658048","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658048","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658048","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3652583.3658048","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658048","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658048","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399418348.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2559085405","https://openalex.org/W2563032747","https://openalex.org/W2604662567","https://openalex.org/W2620364083","https://openalex.org/W2753738274","https://openalex.org/W2782645198","https://openalex.org/W2962954622","https://openalex.org/W2963076818","https://openalex.org/W2963820951","https://openalex.org/W2981569692","https://openalex.org/W2982108874","https://openalex.org/W3018917125","https://openalex.org/W3034654201","https://openalex.org/W3088315053","https://openalex.org/W3093242741","https://openalex.org/W3131318543","https://openalex.org/W3166128956","https://openalex.org/W3167491448","https://openalex.org/W3169891778","https://openalex.org/W3173811519","https://openalex.org/W3176726917","https://openalex.org/W4224307215","https://openalex.org/W6600281463","https://openalex.org/W6600424091"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,35,65],"present":[4],"PoseRec,":[5],"an":[6],"innovative":[7],"approach":[8],"aimed":[9],"at":[10],"enhancing":[11],"online":[12],"advertisement":[13,61,90,117],"recommendations":[14],"for":[15],"micro-videos":[16],"to":[17,81],"boost":[18],"click-through":[19],"rates.":[20],"Addressing":[21],"the":[22,40,47,83,112],"inherent":[23],"background":[24],"bias":[25],"introduced":[26],"via":[27],"direct":[28],"video":[29],"content":[30],"learning":[31,72],"from":[32],"image":[33],"frames,":[34],"exploit":[36],"rich":[37],"data":[38],"within":[39],"3D":[41,50],"human":[42,51],"pose.":[43],"PoseRec":[44],"capitalizes":[45],"on":[46,94],"merits":[48],"of":[49,85,115],"pose":[52,56],"detection":[53],"and":[54,74,87],"multi-frame":[55],"data,":[57],"resulting":[58],"in":[59,89,110],"superior":[60],"recommendation":[62],"performance.":[63],"Additionally,":[64],"introduce":[66],"a":[67,75],"unique":[68],"item-aware":[69],"implicit":[70],"prototype":[71],"module":[73,80],"pose-aware":[76],"transductive":[77],"hard-negative":[78],"mining":[79],"tackle":[82],"issues":[84],"ambiguity":[86],"sparsity":[88],"recommendation.":[91,118],"Upon":[92],"evaluation":[93],"our":[95,99],"novel":[96],"dataset,":[97],"Pose-OBE,":[98],"method":[100],"exhibits":[101],"robust":[102],"performance":[103],"surpassing":[104],"strong":[105],"baselines,":[106],"corroborating":[107],"its":[108],"effectiveness":[109],"resolving":[111],"complex":[113],"challenges":[114],"micro-video":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
